Cover Image

Entropy After </Think> for reasoning model early exiting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xi, McInerney, James, Wang, Lequn, Kallus, Nathan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variation Due to Regularization Tractably Recovers Bayesian Deep Learning
by: McInerney, James, et al.
Published: (2024)

Optimization of Epsilon-Greedy Exploration
by: Che, Ethan, et al.
Published: (2025)

Adjusting Regression Models for Conditional Uncertainty Calibration
by: Gao, Ruijiang, et al.
Published: (2024)

Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
by: Ayoub, Alex, et al.
Published: (2024)

A Statistical-Modelling Approach to Feedforward Neural Network Model Selection
by: McInerney, Andrew, et al.
Published: (2022)

Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
by: Kallus, Nathan
Published: (2025)

Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)

On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
by: Kallus, Nathan, et al.
Published: (2020)

The Central Role of the Loss Function in Reinforcement Learning
by: Wang, Kaiwen, et al.
Published: (2024)

Robust and Agnostic Learning of Conditional Distributional Treatment Effects
by: Kallus, Nathan, et al.
Published: (2022)

A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
by: Wang, Kaiwen, et al.
Published: (2024)

Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)

Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration
by: van der Laan, Lars, et al.
Published: (2025)

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting
by: van der Laan, Lars, et al.
Published: (2025)

Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)

ERDE: Entropy-Regularized Distillation for Early-exit
by: Guidez, Martial, et al.
Published: (2025)

Exploration in the Limit
by: Cho, Brian M., et al.
Published: (2025)

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
by: van der Laan, Lars, et al.
Published: (2025)

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
by: Cho, Brian, et al.
Published: (2024)

Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022)

Teaching Knowledge Management (SIG KM).
by: McInerney, Claire
Published: (2000)

Confidence-gated training for efficient early-exit neural networks
by: Mokssit, Saad, et al.
Published: (2025)

The Context Gathering Decision Process: A POMDP Framework for Agentic Search
by: Kausik, Chinmaya, et al.
Published: (2026)

Low-Rank MDPs with Continuous Action Spaces
by: Bennett, Andrew, et al.
Published: (2023)

Is Cosine-Similarity of Embeddings Really About Similarity?
by: Steck, Harald, et al.
Published: (2024)

More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
by: Wang, Kaiwen, et al.
Published: (2024)

Efficient Adaptive Experimentation with Noncompliance
by: Oprescu, Miruna, et al.
Published: (2025)

Simulation-Based Inference for Adaptive Experiments
by: Cho, Brian M, et al.
Published: (2025)

GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
by: Cho, Brian M, et al.
Published: (2026)

Functional Natural Policy Gradients
by: Bibaut, Aurelien, et al.
Published: (2026)

Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
by: Jia, Su, et al.
Published: (2023)

Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)

Environmental Scanning and the Information Manager.
by: Newsome, James, et al.
Published: (1990)

Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
by: Bennett, Andrew, et al.
Published: (2024)

Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
by: Schröder, Maresa, et al.
Published: (2026)

Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024)

Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
by: Cho, Brian, et al.
Published: (2024)

Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: van der Laan, Lars, et al.
Published: (2025)

Reproductive behaviour of the blackspotted stickleback, Gasterostomus wheatlandi
by: McInerney, J. E
Published: (1969)

Justice, Complexity and Effective Governance in the Twenty-First Century
by: Thomas F. McInerney
Published: (2021)